Research

Publications

 
Centering Policy and Practice: Research Gaps around Usable Differential Privacy
with Rachel Cummings
IEEE Conference on Trust Privacy and Security in Intelligent Systems and Applications (TPS), 2023
 
Dont Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science
with Sophia Song, Audrey Haque, Tania Schlatter, and Salil Vadhan
ACM CHI Conference on Human Factors in Computing Systems (CHI), 2023
Presented at Theory and Practice of Differential Privacy (TPDP), 2022.
 
Differential Perspectives: Epistemic Disconnects Surrounding the US Census Bureau’s Use of Differential Privacy
with danah boyd
Harvard Data Science Review (HDSR), 2022.
Presented at Privacy Law Scholars Conference (PLSC), 2022.
 
Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling
with Mark Bun, Jörg Drechsler, Marco Gaboardi, and Audra McMillan 
Foundations of Responsible Computing (FORC), 2022.
 
Nonparametric Differentially Private Confidence Intervals for the Median
with Jörg Drechsler, Ira Globus-Harris, Audra McMillan, and Adam Smith
Journal of Survey Statistics and Methodology (JSSAM), 2022.
Presented at Theory and Practice of Differential Privacy (TPDP), 2021.
 
‘Time Capsule’ Archiving Through Strong Dark Archives (SDA): Designing Trustable Distributed Archives for Sensitive Materials
with John Bowers, Jack Cushman, and Jonathan Zittrain
Journal of Archival Organization (JAO), 2022.
Presented at Digital Library Federation Forum, 2020 and DIMACS Workshop on Co-Development of Computer Science and Law, 2020.
 
Differentially Private Simple Linear Regression
with Daniel Alabi, Audra McMillan, Adam Smith, and Salil Vadhan
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022.
Presented at Theory and Practice of Differential Privacy (TPDP), 2020.
 
Inter-Region Transfers for Pandemic Surges
with Kenneth Michelson, Chris Rees, Paige VonAchen, Michael Wornow, Michael Monuteaux, and Mark Neuman
Clinical Infectious Diseases, 2020.
 

Manuscripts

Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
with Salil Vadhan
Presented at Theory and Practice of Differential Privacy (TPDP), 2021.
[arXiv]
 
From Algorithmic to Institutional Logics: The Politics of Differential Privacy
Presented at Privacy Law Scholars Conference (PLSC), 2021.
[SSRN]
 
Ring Signatures for Anonymous Sourcing in Journalism
with Catherine Kerner
Presented at Computation+Journalism Conference, 2021.
[pdf]
 
Efficient Multi-Key Verifiable Shuffles 
with Benedikt Bünz and Mariana Raykova
Working paper, last updated in 2020
[pdf]